Associate - Full Stack AI Developer

Job Description
You are a strategic thinker passionate about driving solutions in AI oriented Full Stack development, you have found the right team.
As a Full Stack AI Developer - Associate in our MIS and Platforms team, you will spend each day defining, refining, and delivering set goals for our firm.
Job Responsibilities :

• Scope, prioritize and co-ordinate activities with the product owners. Partner with product owners teams to identify strategic solutions.
• Identify key data sources that can make business impacts.
• Design and develop data mining queries from large data sets (Both Structured and Unstructured). Experienced in conversion of data into information.
• Demonstrate proficiency in application programming with AI skills.
• Employs scaling & automation to data preparation techniques.
• Transform business problems into solutions using application development utilizing AI technologies.
• Assist technical and non-technical end users in how to leverage and interpret the analysis.

Required qualifications, capabilities and skills.

• Bachelor's Degree in, Data science Computer Science, or Engineering.
• Experience Required: Minimum 5 years in full stack/application development with alteast 2 years in Data/AI related projects and self-starter, attention to details and results orientated, able to work under minimal guidance. Uses pertinent data and facts to identify and solve a range of problems within area of expertise.
• Provides explanations and information to others on topics within area of expertise.
• Harness the power of Linux and Create Application Programming Interfaces (APIs) in Python and .net and integrate into web server tools such as Nginx, Uvicorn or similar tools.
• Create dynamic websites using the Model-View-Controller software design pattern, Django, jQuery, CSS, Bootstrap and Expert in developer tools such as GIT, Jupyter notebook, Cloud Foundry etc.
• Ability to handle, clean, visualize and analyze big data and Support Data Scientist on solutions using NumPy, Pandas, Sklearn, Matplotlib, Seaborn etc.
• Hands on experience with PySpark/PySQL stack. Experience on building data extraction pipelines and proficiency in data querying skills on SQL (Snowflake, Databricks)

Preferred qualifications, capabilities and skills.

• Different field of study, with significant professional experience in BI and Analytics Development, is acceptable.
• Good communication and analytical skills

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.